关注
Jeffrey E. Arbogast
Jeffrey E. Arbogast
Computational & Data Science R&D Group Manager, Air Liquide
在 airliquide.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Extension of IMC tuning correlations for non-self regulating (integrating) processes
JE Arbogast, DJ Cooper
ISA transactions 46 (3), 303-311, 2007
522007
An incremental approach using local-search heuristic for inventory routing problem in industrial gases
T Singh, JE Arbogast, N Neagu
Computers & Chemical Engineering 80, 199-210, 2015
492015
Model‐predictive safety system for proactive detection of operation hazards
TM Ahooyi, M Soroush, JE Arbogast, WD Seider, UG Oktem
AIChE Journal 62 (6), 2024-2042, 2016
372016
Rolling pin method: efficient general method of joint probability modeling
T Mohseni Ahooyi, JE Arbogast, M Soroush
Industrial & Engineering Chemistry Research 53 (52), 20191-20203, 2014
282014
Maximum‐likelihood maximum‐entropy constrained probability density function estimation for prediction of rare events
TM Ahooyi, M Soroush, JE Arbogast, WD Seider, UG Oktem
AIChE Journal 60 (3), 1013-1026, 2014
252014
Method to inhibit scale formation in cooling circuits using carbon dioxide
DD Duarte, M Sundaram, JE Arbogast
US Patent 8,153,010, 2012
252012
Applications of the rolling pin method. 1. An efficient alternative to Bayesian network modeling and inference
T Mohseni Ahooyi, JE Arbogast, M Soroush
Industrial & Engineering Chemistry Research 54 (16), 4316-4325, 2015
212015
Method to inhibit scale formation in cooling circuits using carbon dioxide
JE Arbogast, M Sundaram, DD Duarte
US Patent 8,524,088, 2013
192013
Estimation of complete discrete multivariate probability distributions from scarce data with application to risk assessment and fault detection
TM Ahooyi, JE Arbogast, UG Oktem, WD Seider, M Soroush
Industrial & Engineering Chemistry Research 53 (18), 7538-7547, 2014
172014
Model-based Tuning Methods for PID controllers
J Arbogast, DJ Cooper, RC Rice
Technical report 2010 Control Station, Inc. 2010, 1-10, 2010
162010
Chemical process simulation for dynamic risk analysis: a steam–methane reformer case study
IH Moskowitz, WD Seider, M Soroush, UG Oktem, JE Arbogast
Industrial & Engineering Chemistry Research 54 (16), 4347-4359, 2015
152015
A multiple model adaptive control strategy for DMC
D Dougherty, J Arbogast, DJ Cooper
Proceedings of the 2003 American Control Conference, 2003. 3, 2497-2502, 2003
122003
Model‐predictive safety optimal actions to detect and handle process operation hazards
M Soroush, LS Masooleh, WD Seider, U Oktem, JE Arbogast
AIChE Journal 66 (6), e16932, 2020
102020
Understanding rare safety and reliability events using transition path sampling
IH Moskowitz, WD Seider, AJ Patel, JE Arbogast, UG Oktem
Computers & Chemical Engineering 108, 74-88, 2018
102018
Improved predictions of alarm and safety system performance through process and operator response‐time modeling
IH Moskowitz, WD Seider, JE Arbogast, UG Oktem, A Pariyani, M Soroush
AIChE Journal 62 (9), 3461-3472, 2016
102016
Distributed state estimation in large-scale processes decomposed into observable subsystems using community detection
LS Masooleh, JE Arbogast, WD Seider, U Oktem, M Soroush
Computers & Chemical Engineering 156, 107544, 2022
92022
An efficient algorithm for community detection in complex weighted networks
L Samandari Masooleh, JE Arbogast, WD Seider, U Oktem, M Soroush
AIChE Journal 67 (7), e17205, 2021
92021
Graphical Technique for Modeling Integrating (Non–Self-Regulating) Processes without Steady-State Process Data
JE Arbogast, DJ Cooper, RC Rice
Chemical Engineering Communications 194 (12), 1566-1578, 2007
92007
Multivariate alarm systems to recognize rare unpostulated abnormal events
V Sudarshan, WD Seider, AJ Patel, UG Oktem, JE Arbogast
AIChE Journal 70 (2), e18284, 2024
72024
An efficient copula-based method of identifying regression models of non-monotonic relationships in processing plants
TM Ahooyi, JE Arbogast, M Soroush
Chemical Engineering Science 136, 106-114, 2015
72015
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